code: def assert_csr_equal_values(current, expected):
      current.eliminate_zeros()
      expected.eliminate_zeros()
      expected = expected.astype(current.dtype)
      assert current.shape[0] == expected.shape[0]
      assert current.shape[1] == expected.shape[1]
      assert_array_equal(current.data, expected.data)
      assert_array_equal(current.indices, expected.indices)
      assert_array_equal(current.indptr, expected.indptr)
  
file_path: scikit-learn/sklearn/utils/tests/test_seq_dataset.py
imports: from itertools import product
  import numpy
  import pytest
  from numpy.testing import assert_array_equal
  from sklearn.datasets import load_iris
  from sklearn.utils._seq_dataset import ArrayDataset32, ArrayDataset64, CSRDataset32, CSRDataset64
  from sklearn.utils._testing import assert_allclose
  from sklearn.utils.fixes import CSR_CONTAINERS
label_desc: Use image node_id 1 for calling a global function with example usage: assert_csr_equal_values(current, expected) without return types